Modern Deep Learning in Python


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Torrent Size : 1.45 GB


Modern Deep Learning in Python
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Torrent File Content (168 files)


Modern Deep Learning in Python
    17. Appendix
          4. Windows-Focused Environment Setup 2018.mp4 -
186.34 MB

     Visit Coursedrive.org.url -
124 bytes

     ReadMe.txt -
538 bytes

     Visit Coursedrive.org.url -
124 bytes

    1. Introduction and Outline
          1. Outline - what did you learn previously, and what will you learn in this course.mp4 -
14.43 MB

          1. Outline - what did you learn previously, and what will you learn in this course.vtt -
9.77 KB

          2. Where does this course fit into your deep learning studies.mp4 -
6 MB

          2. Where does this course fit into your deep learning studies.vtt -
5.02 KB

          Must Read.txt -
540 bytes

          Visit Coursedrive.org.url -
124 bytes

    2. Review
          1. Review of Basic Concepts.mp4 -
23.36 MB

          1. Review of Basic Concepts.vtt -
16.04 KB

          2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 -
11.12 MB

          2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt -
4.19 KB

    3. Gradient Descent Full vs Batch vs Stochastic
          1. What are full, batch, and stochastic gradient descent.mp4 -
5.83 MB

          1. What are full, batch, and stochastic gradient descent.vtt -
3.54 KB

          2. Full vs Batch vs Stochastic Gradient Descent in code.mp4 -
13.99 MB

          2. Full vs Batch vs Stochastic Gradient Descent in code.vtt -
5.81 KB

    4. Momentum and adaptive learning rates
          1. Using Momentum to Speed Up Training.mp4 -
10.67 MB

          1. Using Momentum to Speed Up Training.vtt -
6.86 KB

          2. Nesterov Momentum.mp4 -
10.64 MB

          2. Nesterov Momentum.vtt -
6.75 KB

          3. Momentum in Code.mp4 -
14.44 MB

          3. Momentum in Code.vtt -
5.49 KB

          4. Variable and adaptive learning rates.mp4 -
18.92 MB

          4. Variable and adaptive learning rates.vtt -
13.2 KB

          5. Constant learning rate vs. RMSProp in Code.mp4 -
10.98 MB

          5. Constant learning rate vs. RMSProp in Code.vtt -
3.79 KB

          6. Adam Optimization.mp4 -
19.33 MB

          6. Adam Optimization.vtt -
11.88 KB

          7. Adam in Code.mp4 -
13.9 MB

          7. Adam in Code.vtt -
5.97 KB

          ReadMe.txt -
538 bytes

          Visit Coursedrive.org.url -
124 bytes

    5. Choosing Hyperparameters
          1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 -
5.1 MB

          1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt -
4.08 KB

          2. Sampling Logarithmically.mp4 -
5.24 MB

          2. Sampling Logarithmically.vtt -
3.39 KB

          3. Grid Search in Code.mp4 -
13.77 MB

          3. Grid Search in Code.vtt -
8.15 KB

          4. Modifying Grid Search.mp4 -
2.18 MB

          4. Modifying Grid Search.vtt -
1.55 KB

          5. Random Search in Code.mp4 -
7.94 MB

          5. Random Search in Code.vtt -
4.27 KB

    6. Weight Initialization
          1. Weight Initialization Section Introduction.mp4 -
1.52 MB

          1. Weight Initialization Section Introduction.vtt -
1.06 KB

          2. Vanishing and Exploding Gradients.mp4 -
9.99 MB

          2. Vanishing and Exploding Gradients.vtt -
6.95 KB

          3. Weight Initialization.mp4 -
13.6 MB

          3. Weight Initialization.vtt -
9.11 KB



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